We are seeking a highly analytical Quantitative Research Analyst to join our AIF Quant Fund team.
The ideal candidate brings strong buy-side experience in systematic investment strategies and will play a key role in developing, implementing, and maintaining sophisticated quantitative models that drive our alternative investment approach.
About the Role :
The Quantitative Research Analyst will be responsible for various key responsibilities that include model development, data infrastructure management, strategy testing, risk management, and technology :
Model Development & Research :
- Design and build multi-factor models for equity, fixed income, and alternative asset classes.
- Develop alpha generation signals and systematic trading strategies across multiple time horizons.
- Research and implement new quantitative factors using academic literature and market insights.
- Enhance existing models through continuous performance monitoring and iterative improvements.
Data Infrastructure & Analytics :
Manage large-scale financial datasets using Snowflake, SQL, and cloud-based platforms.Build automated data pipelines for real-time and historical market data processing.Ensure data quality, integrity, and optimize query performance for research workflows.Develop efficient storage solutions for multi-asset research environments.Strategy Testing & Validation :
Conduct comprehensive back testing across multiple market cycles using robust statistical methods.Perform out-of-sample testing, walk-forward analysis, and Monte Carlo simulations.Generate detailed performance attribution and risk decomposition analysis.Document model assumptions, limitations, and validation results.Risk Management & Monitoring :
Build risk management frameworks including VaR, stress testing, and scenario analysis.Monitor portfolio exposures, concentration risks, and factor loadings in real-time.Develop automated alerting systems for model degradation and performance anomalies.Support portfolio optimization and construction processes.Technology & Automation :
Develop Python-based research and production systems with focus on scalability.Create automated model monitoring, reporting, and alert generation frameworks.Collaborate on technology infrastructure decisions and platform evaluations.Maintain code quality and documentation standards.Qualifications :
Professional Experience :
48 years of buy-side quantitative research in asset management, hedge funds, or proprietary trading.Proven track record in systematic investment strategy development and implementation.Experience with institutional-grade quantitative research and portfolio management.Technical Proficiency :
Programming : Advanced Python (pandas, numpy, scipy, scikit-learn, quantitative libraries).Database : Hands-on Snowflake and SQL experience with large-scale data environments.Analytics : Statistical modeling, econometrics, and machine learning techniques.Platforms : Bloomberg Terminal, Refinitiv, or equivalent financial data systems.Quantitative Expertise :
Deep understanding of factor models, portfolio optimization, and systematic risk management.Knowledge of derivatives pricing, fixed income analytics, and alternative investment structures.Experience with market microstructure analysis and high-frequency data processing.Familiarity with performance attribution methodologies and benchmark & Analysis :Strong problem-solving abilities with exceptional attention to detail.Ability to translate quantitative insights into actionable investment recommendations.Excellent presentation skills for communicating complex research to stakeholders.Collaborative approach to working in cross-functional investment teams.Educational Background :
Master's degree in Finance, Economics, Mathematics, Statistics, Physics, or Engineering.CQF, CFA, FRM or equivalent professional certification preferred.Strong academic foundation with demonstrated quantitative aptitude.Regulatory Awareness :
Understanding of SEBI AIF regulations and compliance frameworks.Knowledge of investment management risk controls and regulatory reporting requirements.Preferred Skills :
Industry Recognition : Published quantitative research or contributions to investment thought leadership.Multi-Asset Expertise : Experience across equity, fixed income, commodities, and alternative investments.Innovation Mindset : Interest in machine learning, alternative data, and emerging quantitative techniques.Advanced Programming : Proficiency in additional languages such as R, C++, or Julia; experience with version control (Git) and code optimization techniques.Domain Specialization : Strong background in specific asset classes such as Indian equities & emerging markets.Entrepreneurial Drive : Self-motivated individual comfortable building scalable systems from ground-up in a growing AIF technology environment.Industry Certifications : Additional qualifications or specialized quantitative finance credentials will be a plus.Alternative Data & AI : Experience with NLP and AI techniques for extracting investment signals from alternative text data sources (such as Filings, Analyst Reports and Transcripts) and developing reasoning-based AI models for systematic decision-making will be a plus.Pay range and compensation package : Competitive with industry standards, including performance-based incentives.
(ref : hirist.tech)